Who are we, you ask?
Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren't adequately prepared. That's where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 17,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as 'the everything store' for career transitions and interview skill development.
How do we do that, you ask?
We have a structured approach to interview success, which includes:
? Career Accelerator Course
? Comprehensive end-to-end courses and platform
? A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
? A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals
What's more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.
How do we do that, you ask?
We have a structured approach to interview success, which includes:
? Career Accelerator Course
? Comprehensive end-to-end courses and platform
? A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
? A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals
What's more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.
We are looking for ML Engineers/Applied Scientists, SWEs (ML domain), with a strong passion for teaching to join us as part-time instructors to teach Machine Learning. This role will provide opportunities to network with other experts, understand learner issues and contribute to the AI/ML community at large.
Role:
? To be an effective machine learning subject matter expert, the requirements typically include a combination of in-depth technical expertise, teaching experience, and communication skills
? Should have hands-on experience in any one of the following:
? Deep Learning - Neural Networks, Neural Architecture & Modern ML Architecture
? Computer Vision
? Natural Language Processing
? Generative AI
? Reinforcement Learning
? MLOps
? Minimum five years of experience in tier-1 Tech companies as an ML Engineer or Scientist
? Preparing engaging and well-structured content on one or more topics listed above
? Ability to simplify complex topics and explain them in an engaging manner
? High levels of empathy to understand the challenges faced by students and willingness to help them out
? PhD in Computer Science/Applied Mathematics/Statistics is preferred